Evidence map›Paper›PMID 42038469›Full record

ArticlePeerJ2026

Exploring magnetic resonance imaging validation of length-based scaling of musculoskeletal models using OpenSim and AddBiomechanics for walking.

Namra Rauf, Philipp Amon, Christoph Stuprich, Frederik B Laun, Anne D Koelewijn

Abstract readValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in PeerJ, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Namra RaufChair of Autonomous Systems and Mechatronics, Department of Electrical Engineering, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany.
Philipp AmonInstitute of Radiology, Uniklinikum Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany.
Christoph StuprichInstitute of Radiology, Uniklinikum Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany.
Frederik B LaunInstitute of Radiology, Uniklinikum Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany.
Anne D KoelewijnChair of Autonomous Systems and Mechatronics, Department of Electrical Engineering, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Scaling is an important step for achieving accurate participant-specific models when studying human motion. Scaling a generic musculoskeletal model using OpenSim is time consuming, depends on the user expertise, and requires a static pose. Recently, AddBiomechanics introduced automatic scaling of the participant-specific models independent of user expertise and static pose. However, its validation is limited to synthetic data. In this exploratory study, we compared models scaled

Indexed as

Magnetic Resonance ImagingWalkingAdultBiomechanical PhenomenaFemaleHumansMaleModels, BiologicalMotion CaptureYoung AdultAddBiomechanicsJoint anglesMRIOMCOpenSim scalingParticipant-specific MSK modelsPersonalized MSK modelsRMSE

Identifiers

PMID42038469
PMCPMC13109979

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.